Anomaly Detection

Anomaly Detection is a binary classification identifying unusual or unexpected patterns in a dataset, which deviate significantly from the majority of the data. The goal of anomaly detection is to identify such anomalies, which could represent errors, fraud, or other types of unusual events, and flag them for further investigation.

[Image source]: GAN-based Anomaly Detection in Imbalance Problems

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 4301–4325 of 4856 papers

Title	Date	Tasks	Status
A Survey on GANs for Anomaly Detection	Jun 27, 2019	Anomaly DetectionSurvey	CodeCode Available
Detection and Statistical Modeling of Birth-Death Anomaly	Jun 27, 2019	Anomaly Detection	—Unverified
Multivariate Big Data Analysis for Intrusion Detection: 5 steps from the haystack to the needle	Jun 27, 2019	Anomaly DetectionIntrusion Detection	—Unverified
Long Short-Term Memory Neural Networks for False Information Attack Detection in Software-Defined In-Vehicle Network	Jun 24, 2019	Anomaly DetectionTime Series	—Unverified
AddGraph_ Anomaly Detection in Dynamic Graph Using Attention-based Temporal GCN	Jun 24, 2019	Anomaly DetectionEdge Detection	—Unverified
Normalizing flows for novelty detection in industrial time series data	Jun 17, 2019	Anomaly DetectionNovelty Detection	—Unverified
Three-Dimensional Fourier Scattering Transform and Classification of Hyperspectral Images	Jun 17, 2019	Anomaly DetectionClassification	CodeCode Available
Anomaly Detection with Joint Representation Learning of Content and Connection	Jun 16, 2019	Anomaly DetectionRepresentation Learning	—Unverified
(1 + )-class Classification: an Anomaly Detection Method for Highly Imbalanced or Incomplete Data Sets	Jun 14, 2019	Anomaly DetectionGeneral Classification	CodeCode Available
Stochastic Proximal AUC Maximization	Jun 14, 2019	Anomaly Detectionimbalanced classification	—Unverified
Anomaly Detection with HMM Gauge Likelihood Analysis	Jun 14, 2019	Anomaly DetectionClustering	—Unverified
GAN-based Multiple Adjacent Brain MRI Slice Reconstruction for Unsupervised Alzheimer's Disease Diagnosis	Jun 14, 2019	Anomaly DetectionGenerative Adversarial Network	—Unverified
Warping Resilient Scalable Anomaly Detection in Time Series	Jun 12, 2019	Anomaly DetectionComputational Efficiency	—Unverified
Deep Learning for Spatio-Temporal Data Mining: A Survey	Jun 11, 2019	Anomaly DetectionDeep Learning	—Unverified
Challenges in Time-Stamp Aware Anomaly Detection in Traffic Videos	Jun 11, 2019	Anomaly Detection	—Unverified
Anomaly Detection in High Performance Computers: A Vicinity Perspective	Jun 11, 2019	Anomaly DetectionVocal Bursts Intensity Prediction	—Unverified
RobustTrend: A Huber Loss with a Combined First and Second Order Difference Regularization for Time Series Trend Filtering	Jun 10, 2019	Anomaly DetectionSparse Learning	CodeCode Available
Outlier Exposure with Confidence Control for Out-of-Distribution Detection	Jun 8, 2019	Anomaly DetectionClassification	CodeCode Available
A Combination of Temporal Sequence Learning and Data Description for Anomaly-based NIDS	Jun 7, 2019	Anomaly DetectionIntrusion Detection	—Unverified
Using anomaly detection to support classification of fast running (packaging) processes	Jun 6, 2019	Anomaly DetectionGeneral Classification	—Unverified
Deep Semi-Supervised Anomaly Detection	Jun 6, 2019	Anomaly DetectionOutlier Detection	CodeCode Available
An Adaptive Training-less System for Anomaly Detection in Crowd Scenes	Jun 3, 2019	Anomaly Detectionobject-detection	—Unverified
ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features	Jun 1, 2019	Anomaly DetectionFake Image Detection	CodeCode Available
Detecting Anomalies in Image Classification by Means of Semantic Relationships	Jun 1, 2019	Anomaly DetectionGeneral Classification	CodeCode Available
Time Series Anomaly Detection Using Convolutional Neural Networks and Transfer Learning	May 31, 2019	Anomaly DetectionTime Series	—Unverified

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All datasets MVTec AD VisA MVTec LOCO AD One-class CIFAR-10 CUHK Avenue ShanghaiTech Fishyscapes L&F UCR Anomaly Archive MPDD BTAD One-class CIFAR-100 UBnormal

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	CPR-faster(TensorRT)	FPS	1,016	—	Unverified
2	CPR-fast(TensorRT)	FPS	362	—	Unverified
3	CPR(TensorRT)	FPS	130	—	Unverified
4	GLASS	Detection AUROC	99.9	—	Unverified
5	UniNet	Detection AUROC	99.9	—	Unverified
6	HETMM	Detection AUROC	99.8	—	Unverified
7	INP-Fomer ViT-L (model-unified multi-class)	Detection AUROC	99.8	—	Unverified
8	EfficientAD (early stopping)	Detection AUROC	99.8	—	Unverified
9	DDAD	Detection AUROC	99.8	—	Unverified
10	PBAS	Detection AUROC	99.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UniNet	Detection AUROC	99.8	—	Unverified
2	GLAD	Detection AUROC	99.5	—	Unverified
3	UniNet(model-unified multi-class)	Detection AUROC	99.15	—	Unverified
4	INP-Former ViT-B (model-unified multi-class)	Detection AUROC	98.9	—	Unverified
5	DDAD	Detection AUROC	98.9	—	Unverified
6	Dinomaly ViT-L (model-unified multi-class)	Detection AUROC	98.9	—	Unverified
7	DiffusionAD	Detection AUROC	98.8	—	Unverified
8	GLASS	Detection AUROC	98.8	—	Unverified
9	TransFusion	Detection AUROC	98.7	—	Unverified
10	HETMM	Detection AUROC	98.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CSAD	Avg. Detection AUROC	95.3	—	Unverified
2	PSAD	Avg. Detection AUROC	94.9	—	Unverified